{"id":"W3011571169","doi":"","title":"LEARNING FROM ICE: Ice Cores","year":2019,"lang":"en","type":"article","venue":"Goldsmiths (University of London)","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ice core; Earth science; Global warming; Glacier; Sea ice; Physical geography; Oceanography; Climate change; Geology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001087356,0.0004032308,0.0001495478,0.0005857052,0.004712233,0.005155711,0.0005972386,0.001022166,0.02117023],"category_scores_gemma":[0.004938151,0.0001759283,0.0002129249,0.0007387756,0.003246869,0.005316934,0.002807223,0.002228617,0.00305123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00239708,"about_ca_system_score_gemma":0.001429411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008002025,"about_ca_topic_score_gemma":0.03924811,"domain_scores_codex":[0.9991958,0.0003867443,0.00002036337,0.00006223773,0.0001980505,0.0001368207],"domain_scores_gemma":[0.9985908,0.0006406607,0.0001075725,0.0001281243,0.0001985444,0.0003342131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006711699,0.00004966826,0.00186936,0.0003149064,0.000008071228,0.0007532783,0.1503986,0.0001542224,0.001027338,0.05508729,0.7299322,0.06033785],"study_design_scores_gemma":[0.000003604921,0.00001247994,0.001066865,0.0001927859,0.00000271942,0.0002133185,0.0283606,0.00004408133,0.0003185832,0.002202449,0.9675748,0.00000780186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06543886,0.004871967,0.004453179,0.04343745,0.00790043,0.0001468166,0.001124977,0.0004820121,0.8721443],"genre_scores_gemma":[0.6075038,0.008998205,0.008386717,0.01555631,0.005346193,0.0002982062,0.001521487,0.001382973,0.3510062],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02117023,"threshold_uncertainty_score":0.07082146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946517933610852,"score_gpt":0.2702481406310692,"score_spread":0.2507829612949607,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}